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Facile detection of illicit wastewater discharge into a water source using a kinetic-based optical fingerprinting strategyстатья
Статья опубликована в высокорейтинговом журнале
Статья опубликована в журнале из списка Web of Science и/или ScopusДата последнего поиска статьи во внешних источниках: 8 октября 2025 г.
- Авторы: Shik Anna V., Akhmetov Ramil M., Sugakov Gleb K., Filatova Daria G., Doroshenko Irina A., Podrugina Tatyana A., Beklemishev Mikhail K.
- Журнал: Analytical Methods
- Том: 17
- Год издания: 2025
- Издательство: Royal Society of Chemistry
- Местоположение издательства: United Kingdom
- Первая страница: 8061
- Последняя страница: 8072
- DOI: 10.1039/d5ay01066g
- Аннотация: Extensive monitoring of water sources necessitates the development of inexpensive and effective methods for monitoring their pollution. A particularly challenging task is detecting a sudden release of contaminated effluents into a water supply. To solve this issue, we employ a reaction-basedfingerprinting technique that is based on conducting an indicator reaction of oxidation of carbocyanine dyes in the presence of a sample. The absorbance andfluorescence intensity are measured periodically using cameras, and the obtained data are processed using machine learning techniques. Monitoring of clean tap or river water was simulated by sampling every fewdays. Artificial contamination of this water wasmodeled by adding diluted sewagewater (4 different samples). As a result, the ontaminated samples were displayed as outliers in the score plots. In both tap and river water, 0.1% vol of wastewater (1000-fold dilution) was detected. The accuracy of discrimination between polluted and unpolluted samples exceeded 90% using linear discriminant analysis (LDA) or softmax regression (SR). Thereby, an unexpected discharge of wastewater into a water source could be rapidly detected with simple instruments. Development of this approach will contribute to improving the accuracy and ease of detection of water source contamination, making environmental monitoring methods more reliable for the benefit of public health.
- Добавил в систему: Шик Анна Викторовна
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